LPIT_TOOLBOX

The mean shift tracker algorithm was implemented using matlab.

支持向量机的Matlab实现，支持多分类，据有GUI操作界面，简单易懂，其中包括输入输出数据。(Support Vector Machines Matlab realize, support multi-classification, as far as the operation has GUI interface, easy-to-read, including the input and output data.)

alpha_beta 的程序，目标跟踪方面(alpha_beta s programme ,traget tracking part)

this is a simulink model..POWER FACTOR CORRECTION OF INDUCTIVE LOAD USING FC-TCR COMPENSATOR

PV-SYSTEM based on matlab simulink model ..

使用MATLAB编写的aBimRB神经网络算法，本程序根据训练好的网络文件JDBqGzE预测新的数据文件，得到算法的最差性能和最优性能，并绘制出预测数据和原数据的对比图。调试运行正常。 (Using MATLAB preparedaBimRB neural network algorithm, the program according to the trained network fileJDBqGzE anticipating new data files to obtain the best performance and the worst performance of the algorithm, and draw out the comparison chart data and predict the original data. Debugging and running properly. )

可直接运行的matlab代码，Asift算法，比SIFT找到的特征点多很多。(Can be directly run matlab code, Asift algorithm, more than SIFT to find the feature points.)

信号处理源码，包含常用的各种滤波器，功率谱计算，Z变换，线性卷积等，Matlab实现。(Signal processing source code that contains a variety of commonly used filters, power spectrum calculation, Z transforms, linear convolution and so on, Matlab implementation.)

Knowledge of the process noise covariance matrix is essential for the application of Kalman filtering. However, it is usually a difficult task to obtain an explicit expression of for large time varying systems. This paper looks at an adaptive Kalman filter method for dynamic harmonic state estimation and harmonic injection tracking.(Knowledge of the process noise covariance matrix is essential for the application of Kalm an filtering. However, it is usually a difficult task to obtain an expli cit for large expression of time varying system s. This paper looks at an adaptive Kalman filter method for dynamic estimation a harmonic state nd harmonic injection tracking.)

卡尔曼滤波原理及程序手册，非常好用，非常方便(Kalman filtering principles and procedures manual, very easy to use, very convenient)